CN102507816B - Method for detecting effectiveness of oil chromatogram online monitoring data - Google Patents
Method for detecting effectiveness of oil chromatogram online monitoring data Download PDFInfo
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- CN102507816B CN102507816B CN2011103530862A CN201110353086A CN102507816B CN 102507816 B CN102507816 B CN 102507816B CN 2011103530862 A CN2011103530862 A CN 2011103530862A CN 201110353086 A CN201110353086 A CN 201110353086A CN 102507816 B CN102507816 B CN 102507816B
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Abstract
The invention discloses a method for detecting the effectiveness of oil chromatogram online monitoring data. According to the method for detecting the effectiveness of the oil chromatogram online monitoring data, the effectiveness of abnormal data is automatically analyzed and judged by combining oil fault types of GB/T-7252-2001 standard and a sensor array, namely a system can automatically analyze and judge the effectiveness of the monitored abnormal data, and can effectively determine the effective monitoring data. The effectiveness, accuracy and reliability of data of an oil chromatogram online monitoring system can be improved.
Description
Technical field
The present invention relates to oil chromatography on-line monitoring field, particularly a kind of detection method of oil chromatography online monitoring data validity.
Background technology
At present, in electric system, transformer oil is carried out to the system widespread use of on-line monitoring analysis, in the intelligent substation technology, the oil chromatography on-line monitoring system becomes the monitoring project that the transformer newly making and moved must adopt, because the oil chromatography on-line monitoring system has important effect to the normal operation that ensures electrical network, so how to guarantee that the validity of oil chromatography online monitoring data has very positive realistic meaning.
The oil chromatography on-line monitoring system, a kind of equipment of monitoring the component concentration of dissolved gas in transformer insulation oil, for helping the user whether to exist the faults such as overheated, electric discharge, insulation of latency to carry out monitoring and warning to operating oil-filled power equipment, to ensure the effectively secondary device of operation of power grid security.
The Vehicles Collected from Market chromatography online monitoring system that oils, each manufacturer all has the design of oneself to realize, but there is no disposal route preferably for the validity of sampled data, can only compare to prove that whether one group of data is effective by with the test experiment chamber, carrying out off-line data.
By with the test experiment chamber, carrying out Data Comparison, its limitation is arranged, can only be sampled by laboratory worker and oil chromatography on-line monitoring system simultaneously, the data that obtain just have comparability; For the long-term oil chromatography on-line monitoring system of operation at the scene, carry out at any time the contrast of off-line online data, obviously do not possess operability, so invent a kind of method that can be automatically to the validity of oil chromatography online monitoring data, analyze judgement, very important effect is just arranged.By the efficiency analysis to oil chromatography on-line monitoring system Monitoring Data, can reduce greatly unnecessary off-line analysis work, also can avoid the field operator because the false alarm that invalid online monitoring data causes carries out unnecessary off-line analysis.Validity, accuracy and the reliability of oil chromatography on-line monitoring system have been increased.At current national, carry out the period of intelligent grid construction energetically, the validity that improves oil chromatography on-line monitoring system data very, accuracy and reliability very important.
Summary of the invention
The object of the present invention is to provide a kind of detection method of oil chromatography online monitoring data validity, by the situation of change to every kind of detected Monitoring Data of sensor in sensor array, failure gas in conjunction with the GB/T-7252-2001 standard produces principle and method for diagnosing faults, can automatic analysis and confirm accuracy and the validity of Monitoring Data, automatically screen out invalid data, be conducive to improve the data accuracy of oil chromatography on-line monitoring system, reliability.
Technical matters solved by the invention can realize by the following technical solutions:
The detection method of oil chromatography online monitoring data validity is characterized in that described method comprises the steps:
1) sensor array carries out on-line monitoring to gas concentration in oil, and constantly related data is sent to on-line monitoring system;
2) described on-line monitoring system judges that whether data are abnormal; As without abnormal, continue to detect next group data; If data occur abnormal, further judge whether data meet γ-ray emission principle in oil;
3) if data do not meet γ-ray emission principle in oil, be judged to be equipment state abnormal, and judge that this group abnormal data is invalid, reminder-data is invalid or automatically abandon data.
In one embodiment of the invention, described equipment state Exception Type comprises sensor abnormality and oil chromatography on-line detecting system unit exception.
In one embodiment of the invention, the decision method of described sensor abnormality is for checking the data situation of all the sensors in sensor array, if the Monitoring Data of some or certain several sensor changes, and the Monitoring Data of other sensor senses device does not change, be judged to be sensor abnormality.
Beneficial effect of the present invention is: realized the automatic analysis and judgment to the validity of abnormal data, the validity that can make system possess the abnormal data to monitoring is carried out automatic analysis and judgment, effectively screens out invalid Monitoring Data.Data validity, accuracy, the reliability of oil chromatography on-line monitoring system have been improved.
The accompanying drawing explanation
The process flow diagram of the detection method that Fig. 1 is oil chromatography online monitoring data validity of the present invention.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach purpose and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
As shown in Figure 1, the detection method of oil chromatography online monitoring data validity of the present invention, comprise the steps:
1) sensor array carries out on-line monitoring to gas concentration in oil, and constantly related data is sent to on-line monitoring system;
2) described on-line monitoring system judges that whether data are abnormal; As without abnormal, continue to detect next group data; If data occur abnormal, further judge whether data meet γ-ray emission principle in oil;
3) if data do not meet γ-ray emission principle in oil, be judged to be equipment state abnormal, and judge that this group abnormal data is invalid, reminder-data is invalid or automatically abandon data.
The present invention is distributed in the distribution situation on sensors different in sensor array according to generation principle and the fault characteristic gases of oil dissolved gas, in conjunction with transformer fault, cause the failure gas generated to be distributed in the special characteristic formed on different sensors, and be configured for according to this feature the model bank that abnormity of gas concentration is analyzed, when Sensor monitoring changes to gas concentration data abnormal, there are several situations:
(1) sensor is normal, and there is fault in oil chromatography on-line monitoring system parts, cause Monitoring Data abnormal;
(2) sensor abnormality causes Monitoring Data abnormal;
(3) transformer fault causes the Monitoring Data of oil chromatography on-line monitoring system abnormal.
In 3 kinds of above situations, it is abnormal that the Monitoring Data that we cause sensor abnormality and some parts self problem of oil chromatography on-line monitoring system is referred to as equipment state extremely.
Generation principle and the Changing Pattern of oil dissolved gas when generally, in Monitoring Data, the ANOMALOUS VARIATIONS situation of failure gas concentration should meet transformer fault; If do not meet, reason may be that some component working state of sensor abnormality or oil chromatography on-line monitoring system is undesired.As electromagnetic interference (EMI) causes undesired signal and is coupled with sampled signal or the sample circuit failure and other reasons, this Monitoring Data is insincere, can not accept and believe as correct analysis data, so when this kind of invalid data being detected, it is invalid that the transformer oil chromatographic on-line detecting system should automatically be picked out this invalid data or directly point out the user to organize data, avoid the user owing to accepting and believing invalid data erroneous judgement device fails, and then cause carrying out insignificant off-line analysis, increase non-productive work amount and the various resources of waste, the transformer oil chromatographic on-line detecting system can realize this function by this algorithm, reach this purpose.
Above demonstration and described ultimate principle of the present invention and principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and instructions, describes just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications; these changes and improvements all fall in the claimed scope of the invention, and the claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (2)
1. the detection method of oil chromatography online monitoring data validity, is characterized in that, described method comprises the steps:
1) sensor array carries out on-line monitoring to gas concentration in oil, and constantly related data is sent to on-line monitoring system;
2) described on-line monitoring system judges that whether data are abnormal, be distributed in the distribution situation on sensors different in sensor array according to generation principle and the fault characteristic gases of oil dissolved gas, in conjunction with transformer fault, cause the failure gas generated to be distributed in the special characteristic formed on different sensors, and be configured for according to this feature the model bank that abnormity of gas concentration is analyzed; As without abnormal, continue to detect next group data; If data occur abnormal, further judge whether data meet the failure gas generation principle of GB/T-7252-2001 standard;
3) produce principle if data meet the failure gas of GB/T-7252-2001 standard, be judged to be equipment state abnormal, and judge that this group abnormal data is invalid, reminder-data is invalid or automatically abandon data;
Described equipment state Exception Type is sensor abnormality and oil chromatography on-line monitoring system unit exception.
2. require the detection method of 1 described oil chromatography online monitoring data validity according to claim, it is characterized in that, the decision method of described sensor abnormality is for checking the data situation of all the sensors in sensor array, if the Monitoring Data of some or certain several sensor changes, and the Monitoring Data of other sensor does not change, be judged to be sensor abnormality.
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| CN2011103530862A CN102507816B (en) | 2011-11-09 | 2011-11-09 | Method for detecting effectiveness of oil chromatogram online monitoring data |
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| CN2011103530862A CN102507816B (en) | 2011-11-09 | 2011-11-09 | Method for detecting effectiveness of oil chromatogram online monitoring data |
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| CN102507816A CN102507816A (en) | 2012-06-20 |
| CN102507816B true CN102507816B (en) | 2013-12-11 |
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Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102788943A (en) * | 2012-09-06 | 2012-11-21 | 上海欣影电力科技发展有限公司 | Automatic sensing method for online monitored data of partial discharge |
| CN102928519A (en) * | 2012-10-23 | 2013-02-13 | 上海市电力公司 | Accuracy testing method for oil chromatogram online monitoring device |
| CN103746871B (en) * | 2013-12-26 | 2017-07-07 | 力合科技（湖南）股份有限公司 | Data validity detection means and detection method |
| CN112697946A (en) * | 2021-03-23 | 2021-04-23 | 广东电网有限责任公司佛山供电局 | Main transformer on-line oil chromatography monitoring method and device |
| CN115032323A (en) * | 2022-06-06 | 2022-09-09 | 云南电网有限责任公司电力科学研究院 | Method for determining oil chromatography data abnormity, electronic equipment and storage medium |
| CN115932144B (en) * | 2023-02-22 | 2023-05-12 | 华谱科仪(北京)科技有限公司 | Chromatograph performance detection method, chromatograph performance detection device, chromatograph performance detection equipment and computer medium |
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